21 citations · 57 across the 10 of their papers we have counts for
5 papers · 1 filter
CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks
Yansong Wang, Xiaomeng Wang, Tao Jia
Cascade prediction aims at modeling information diffusion in the network. Most previous methods concentrate on mining either structural or sequential features from the network and…
CasSeqGCN: Combining Network Structure and Temporal Sequence to Predict Information Cascades
Yansong Wang, Xiaomeng Wang, Radosław Michalski +2
One important task in the study of information cascade is to predict the future recipients of a message given its past spreading trajectory. While the network structure serves as t…
Independent Asymmetric Embedding for Information Diffusion Prediction on Social Networks
Wenjin Xie, Xiaomeng Wang, Tao Jia
The prediction for information diffusion on social networks has great practical significance in marketing and public opinion control. It aims to predict the individuals who will po…
The network asymmetry caused by the degree correlation and its effect on the bimodality in control
Xiaoyao Yu, Yongqing Liang, Xiaomeng Wang +1
Our ability to control a whole network can be achieved via a small set of driver nodes. While the minimum number of driver nodes needed for control is fixed in a given network, the…
The evolution of network controllability in growing networks
Rui Zhang, Xiaomeng Wang, Ming Cheng +1
The study of network structural controllability focuses on the minimum number of driver nodes needed to control a whole network. Despite intensive studies on this topic, most of th…